Class

com.databricks.labs.automl.reports

RandomForestFeatureImportance

Related Doc: package reports

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class RandomForestFeatureImportance extends ReportingTools

Linear Supertypes
ReportingTools, SparkSessionWrapper, Serializable, Serializable, AnyRef, Any
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Inherited
  1. RandomForestFeatureImportance
  2. ReportingTools
  3. SparkSessionWrapper
  4. Serializable
  5. Serializable
  6. AnyRef
  7. Any
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Visibility
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Instance Constructors

  1. new RandomForestFeatureImportance(data: DataFrame, featConfig: MainConfig, modelType: String)

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Value Members

  1. final def !=(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  2. final def ##(): Int

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    Definition Classes
    AnyRef → Any

  3. final def ==(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  4. final def asInstanceOf[T0]: T0

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    Definition Classes
    Any

  5. def cleanupFieldArray(indexedFields: Array[(String, Int)]): List[(String, Int)]

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    Definition Classes
    ReportingTools

  6. def clone(): AnyRef

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  7. final def eq(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  8. def equals(arg0: Any): Boolean

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    Definition Classes
    AnyRef → Any

  9. def extractTopFeaturesByCount(featureFrame: DataFrame, topNCutoff: Int): Array[String]

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    Definition Classes
    ReportingTools

  10. def extractTopFeaturesByImportance(featureFrame: DataFrame, importancePercentageCutoff: Double): Array[String]

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    Definition Classes
    ReportingTools

  11. def finalize(): Unit

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    Attributes
    protected[java.lang]
    Definition Classes
    AnyRef
    Annotations
    @throws( classOf[java.lang.Throwable] )

  12. def generateDecisionTextReport(modelDebugString: String, featureIndex: List[(String, Int)]): String

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    Definition Classes
    ReportingTools

  13. def generateFrameReport(columns: Array[String], importances: Array[Double]): DataFrame

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    Definition Classes
    ReportingTools

  14. final def getClass(): Class[_]

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    Definition Classes
    AnyRef → Any

  15. def getCutoffType: String

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  16. def getCutoffValue: Double

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  17. def hashCode(): Int

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    Definition Classes
    AnyRef → Any

  18. final def isInstanceOf[T0]: Boolean

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    Definition Classes
    Any

  19. final def ne(arg0: AnyRef): Boolean

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    Definition Classes
    AnyRef

  20. final def notify(): Unit

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    Definition Classes
    AnyRef

  21. final def notifyAll(): Unit

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    Definition Classes
    AnyRef

  22. def reportFields(fieldIndexArray: Array[(String, Int)]): String

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    Definition Classes
    ReportingTools

  23. def runFeatureImportances(fields: Array[String]): (RandomForestModelsWithResults, DataFrame, Array[String])

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  24. lazy val sc: SparkContext

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    Definition Classes
    SparkSessionWrapper

  25. def setCutoffType(value: String): RandomForestFeatureImportance.this.type

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  26. def setCutoffValue(value: Double): RandomForestFeatureImportance.this.type

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  27. lazy val spark: SparkSession

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    Definition Classes
    SparkSessionWrapper

  28. final def synchronized[T0](arg0: ⇒ T0): T0

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    Definition Classes
    AnyRef

  29. def toString(): String

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    Definition Classes
    AnyRef → Any

  30. final def wait(): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  31. final def wait(arg0: Long, arg1: Int): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

  32. final def wait(arg0: Long): Unit

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    Definition Classes
    AnyRef
    Annotations
    @throws( ... )

Inherited from ReportingTools

Inherited from SparkSessionWrapper

Inherited from Serializable

Inherited from Serializable

Inherited from AnyRef

Inherited from Any

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